Absolute Max and Min on an Interval Total Running Time: 10:38 graphic interpretation, solve with calculus Absolute Max and Min on an Interval

Algebraic Limits and Continuity Total Running Time: 10:04 0/0, calculus for business Algebraic Limits and Continuity

Antidifferentiation – Indefinite Integral Total Running Time: 18:46 antiderivative, exponential and logarithmic functions, negative and rational exponents Antidifferentiation – Indefinite Integral

Applications of Linear Functions Total Running Time: 21:56 average cost, cost, linear depreciation, market equilibrium, profit, Revenue, supply and demand Applications of Linear Functions

Applications of Quadratic Functions Total Running Time: 14:18 break even analysis, graphing, market equilibrium, profit functions, revenue functions, supply and demand functions Applications of Quadratic Functions

Applications of the First Derivative Total Running Time: 22:12 increasing and decreasing graphical, relative extrema, relative minimum and maximum Applications of the First Derivative

Applications of the Second Derivative Total Running Time: 24:43 concavity, inflection points Applications of the Second Derivative

Area and Definite Integrals Total Running Time: 17:58 fundamental theorem of calculus Area and Definite Integrals

Area Between Curves Total Running Time: 17:51 average value over an interval, endpoints of integration, graphic understanding Area Between Curves

Asymptotes Total Running Time: 13:45 limits at infinity, vertical and horizontal asymptotes Asymptotes

Average Rates of Change Total Running Time: 07:49 algebraic example, graphic example Average Rates of Change

Basic Matrix Operations Total Running Time: 12:41 adding and subtracting matrices, dimension of a matrix, entries of a matrix, identifying entries, scalar multiplication, special matrices Basic Matrix Operations

Baye’s Rule Total Running Time: 34:16 calculate, interpret, multiplicative rule, probability, tree diagram Baye’s Rule

Binomial Distribution Total Running Time: 04:31 Binomial Distribution, Binomial Probability, Binomial Table, Mean Deviation, standard deviation Binomial Distribution

Commonly Used Confidence Intervals Total Running Time: 15:36 Common Confidence Levels, Confidence Intervals, One Sided Confidence Intervals, Two Sided Confidence Intervals Commonly Used Confidence Intervals

Comparing Two Population Means PT1 Total Running Time: 11:41 confidence interval, Hypothesis Testing, Independent Sampling, Population Mean, Z-Statistic Comparing Two Population Means PT1

Comparing Two Population Means PT2 Total Running Time: 09:26 confidence interval, Hypothesis Testing, Independent Sampling, Population Mean, Z-Statistic Comparing Two Population Means PT2

Comparing Two Population Proportions PT1 Total Running Time: 11:11 Confidence Intervals, Hypothesis Testing, Population Proportion, Tests of Significance, Z-Statistic Comparing Two Population Proportions PT1

Comparing Two Population Proportions PT2 Total Running Time: 10:14 Confidence Intervals, Hypothesis Testing, Population Proportion, Tests of Significance, Z-Statistic Comparing Two Population Proportions PT2

Conditional Probability and Independent Events Total Running Time: 05:19 conditional probability, Conditional Probability Formula, independent events, probability Conditional Probability and Independent Events

Confidence Intervals for Proportions Total Running Time: 19:50 assumptions and conditions, certainty versus precision, choosing sample size, margin of error Confidence Intervals for Proportions

Confidence Intervals for Proportions Total Running Time: 09:24 Confidence Level Confidence Intervals for Proportions

Confidence Intervals for the Mean (t-Statistic) Total Running Time: 12:01 confidence interval, Inferential Methods, Population Mean, T-statistic, Target Parameters, Validity Assumptions Confidence Intervals for the Mean (t-Statistic)

Confidence Intervals for the Mean (z-Statistic) PT1 Total Running Time: 13:35 confidence interval, Interval Estimator, Point Estimator, Population Mean, Z-Statistic Confidence Intervals for the Mean (z-Statistic) PT1

Confidence Intervals for the Mean (z-Statistic) PT2 Total Running Time: 14:16 confidence interval, Interval Estimator, Point Estimator, Population Mean, Z-Statistic Confidence Intervals for the Mean (z-Statistic) PT2

Confidence Intervals for the Population Proportion Total Running Time: 14:11 categorical variables, confidence interval, Population Proportion, Probability Calculations, Z-Statistic Confidence Intervals for the Population Proportion

Consumer and Producer Surplus Total Running Time: 22:24 market equilibrium Consumer and Producer Surplus

Converting Decimals & Fractions to Percent Total Running Time: 08:14 Converting Decimals & Fractions to Percent

Correlation Total Running Time: 14:00 Correlation, Linear Correlation Coefficient, r, StatCrunch Correlation

Correlation and Linear Regression Total Running Time: 27:04 conditions and properties of correlation, correlation tables, f test, lurking variables and causation, r squared, residuals, scatterplots, variation Correlation and Linear Regression

Creating Control Charts – c-chart and p-chart Total Running Time: 05:21 Creating Control Charts – c-chart and p-chart

Creating Control Charts – x bar and R Total Running Time: 08:26 Creating Control Charts – x bar and R

Data Total Running Time: 08:38 categorical variables, Nominal Variables, Quantitative Variables, W's of data Data

Derivative of Logarithmic Functions Total Running Time: 11:47 derivative of log's, rule of log's Derivative of Logarithmic Functions

Differentiation Techniques – Easy Way Total Running Time: 22:54 derivatives of constants, negative exponents, power rule, rational exponents Differentiation Techniques – Easy Way

Differentiation Using Difference Quotient Total Running Time: 21:13 derivative definition, finding derivative, finding equations of tangent lines, slope of tangent line Differentiation Using Difference Quotient

Displaying and Describing Categorical Data Total Running Time: 15:04 Bar Charts, Categorical Data, conditional distribution, Contingency Table, Frequency Table, independent variables, marginal distribution, Pie Charts Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data Total Running Time: 25:19 boxplots, center, comparing standard deviation, five number summary, identifying outliers, interpreting skewness statistic, mean, median, mode, reading histogram, shape, spread of distribution, standardizing, variance, z score Displaying and Describing Quantitative Data

Displaying Describing Quantitative Data PT1 Total Running Time: 06:21 histogram, outliers, Shape of Distribution, skewed, symmetric Displaying Describing Quantitative Data PT1

Displaying Describing Quantitative Data PT2 Total Running Time: 24:36 5 Number Summary, mean, median, mode, outliers, range, standard deviation, Standardized Value, z score Displaying Describing Quantitative Data PT2

Elasticity of Demand Total Running Time: 18:27 elastic and inelastic products, maximizing revenue Elasticity of Demand

Equations of Lines Total Running Time: 22:59 finding slope, parallel and perpendicular Equations of Lines

Expected Value Total Running Time: 13:22 Discrete Random Variables, expected value, random variables, standard deviation Expected Value

Exponential Functions Total Running Time: 15:50 derivative of exponentials, product rule Exponential Functions

Exponential Functions and Application of Exponential Functions Total Running Time: 16:33 Euler's number, graphing Exponential Functions and Application of Exponential Functions

Exponents and Radicals Total Running Time: 16:14 properties of exponents, radicals and rational exponents Exponents and Radicals

Finding Domain and Range Total Running Time: 16:47 algebraic approach, graphical approach, interval notation Finding Domain and Range

First Degree Equations Total Running Time: 21:29 solving linear equations, solving rational equations First Degree Equations

Five-Number Summary and Boxplots Total Running Time: 13:26 boxplots, five number summary, interquartile range, IRQ, ordered data set, quartiles Five-Number Summary and Boxplots

Functions Total Running Time: 29:35 difference quotient, finding domain, functional notation Functions

Functions and Models Total Running Time: 12:43 difference quotient, graphing, vertical line test Functions and Models

Future Value of Ordinary Annuities Total Running Time: 21:54 calculating interest, ordinary annuity, solving for r, solving for s, the formula Future Value of Ordinary Annuities

Graphical Methods of Describing Data Total Running Time: 18:36 bimodal, charts, distributions, graphs, outliers, skewed, symmetric Graphical Methods of Describing Data

Graphs Total Running Time: 22:06 finding real solutions to polynomials, linear equations in standard form, polynomial and rational equations, reading graphs Graphs

Higher Order Derivatives Total Running Time: 09:01 first and second derivative, notation Higher Order Derivatives

Integration Techniques – U Substitution Total Running Time: 26:21 four cases Integration Techniques – U Substitution

Joint and Conditional Probability Total Running Time: 21:29 contignecy, dependent, event, frequencies, independent, table, unconditional, variable Joint and Conditional Probability

Limits: A Numerical and Graphical Approach Total Running Time: 11:19 Limits from the Left and Right, Value of a Function Limits: A Numerical and Graphical Approach

Linear Inequalities Total Running Time: 17:55 absolute value, dividing by a negative, graph, interval notation, solve Linear Inequalities

Linear Regression Total Running Time: 16:09 Explanatory Variable, residuals, Response Variable, standardized residuals Linear Regression

Loan Amortization and Present Value of Ordinary Annuities Total Running Time: 17:17 calculating interest, solving for P, solving for r Loan Amortization and Present Value of Ordinary Annuities

Logarithmic Functions Total Running Time: 15:19 natural logarithm, properties of Log's, simplifying Log's Logarithmic Functions

Looking at Relationships and Scatterplots Total Running Time: 07:23 Bivariate Data, Dependent Variable, Explanatory Variable, Predictor Variable, Response Variable, Scatter Plot Looking at Relationships and Scatterplots

Margin of Error and Sample Size Total Running Time: 14:29 confidence interval, Confidence Level, critical values Margin of Error and Sample Size

Marginal Functions Total Running Time: 08:00 marginal cost, marginal profit, Revenue Marginal Functions

Matrix Products Identities and Inverses Total Running Time: 17:50 additive identities, additive inverses, dimensions of matrix multiplication, multiplicative identities, multiplicative inverses Matrix Products Identities and Inverses

Max and Min Business Applications Total Running Time: 10:16 cost, linear profit, maximum profit, Revenue, revenue function Max and Min Business Applications

Measures of Relative Standing Total Running Time: 07:25 percentiles, raw data, relative standing, z-scores Measures of Relative Standing

Multiple Regression Total Running Time: 31:32 assumptions, coefficient, estimation, extrapolation pitfall, linear regression model, model, multicollinearity, prediction, significance, test Multiple Regression

Multiple Regression Total Running Time: 16:37 adjusted r squared, assumptions and conditions, f statistic, interpreting coefficients Multiple Regression

Multiple Regression Total Running Time: 12:32 Multiple Regression, multiple regression coefficient, multiple regression model Multiple Regression

Multiple Regression Practice Total Running Time: 37:02 assumptions, coefficient, estimation, extrapolation pitfall, linear regression model, model, multicollinearity, prediction, significance, test Multiple Regression Practice

Mutually Exclusive Events and the Additive Rule Total Running Time: 04:39 Additive Rule, Mutually Exclusive Events, probability Mutually Exclusive Events and the Additive Rule

Nonlinear Functions and Models Total Running Time: 20:03 market equilibrium, parabolas, quadratic equations, quadratic formula, radicals, rational exponents, vertex, x intercepts, y intercepts Nonlinear Functions and Models

Normal Approximation of a Binomial Distribution Total Running Time: 06:12 Binomial Distribution, Continuous Distribution, Discrete Distribution, Normal Approximation Normal Approximation of a Binomial Distribution

Normal Distribution Total Running Time: 08:49 Bell-Shaped, mean, normal distribution, Normal Table, standard deviation, Symmetrical Normal Distribution

Normal Distribution Total Running Time: 16:42 empirical rule, Standard Distribution Normal Distribution

Numerical Measures of Central Tendency Total Running Time: 06:57 mean, median, mode, Numerical Measures, Skewness Numerical Measures of Central Tendency

Numerical Measures of Variability Total Running Time: 07:49 range, standard deviation, variance Numerical Measures of Variability

Polynomial Inequalities Total Running Time: 19:08 graph, interval notation, solve Polynomial Inequalities

Polynomials Total Running Time: 17:14 add and subtract, binomial, cost, descending order, monomial, profit, Revenue, trinomial Polynomials

Probability-Events and Sample Spaces Total Running Time: 09:48 classical probability, compound event, empirical probability, experiment, probability experiment, sample point, sample space, simple event Probability-Events and Sample Spaces

Product and Quotient Rule Total Running Time: 26:30 average cost, product rule, quotient rule Product and Quotient Rule

Quadratic Equations Total Running Time: 31:25 factoring, quadratic formula, zero factor property Quadratic Equations

Quadratic Functions Total Running Time: 22:26 axis of symmetry, graph of parabola, graphing, intercepts, max and min vertex Quadratic Functions

Rational Expressions Total Running Time: 14:10 divide expressions, multiply expressions, simplify expressions in lowest terms Rational Expressions

Rational Expressions Total Running Time: 14:10 divide expressions, multiply expressions, simplify expressions in lowest terms Rational Expressions

Rational Functions Total Running Time: 15:11 f infinity, graphing, horizontal and vertical asymptotes, understanding asymptotes Rational Functions

Real Numbers Total Running Time: 16:50 absolute value, graphing inequalities on number line, interval notation, order of operations Real Numbers

Review of Inference Confidence Intervals Total Running Time: 28:25 interval, known, margin of error, population, proportions, sample size, unknown Review of Inference Confidence Intervals

Review of Inference Hypothesis Tests Total Running Time: 30:06 alternative, error, known, mean, null, parameter, population, proportion, significant, unknown Review of Inference Hypothesis Tests

Review of Probability Rules and Definitions Total Running Time: 21:36 compound event, event, joint, random experiment, rule, sample space Review of Probability Rules and Definitions

Review of Simple Regression Total Running Time: 27:40 calculate, coefficient of determination, estimate, interpret, linear regression model, model assumption, predict, residuals, sample correlation coefficient, slope, standard deviation Review of Simple Regression

Rounding and Converting Fractions & Decimals Total Running Time: 07:46 Rounding and Converting Fractions & Decimals

Rule of 72 and Compound Interest Total Running Time: 30:37 effective interest rate, solving for time Rule of 72 and Compound Interest

Sample Size Determination Total Running Time: 15:09 margin of error, Population Mean, Population Proportion, sample size Sample Size Determination

Sampling Distribution Total Running Time: 22:29 assumptions and conditions, central limit theorem, distribution of sample proportions, effect of sample size, sampling distribution of the mean Sampling Distribution

Sampling Distribution of Mean Total Running Time: 12:32 central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean Sampling Distribution of Mean

Sampling Distribution of the Mean Total Running Time: 06:11 central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean Sampling Distribution of the Mean

Simple Regression Practice Total Running Time: 23:28 coefficient of determination, correlation coefficient, estimation, linear regression model, model assumptions, prediction, standard deviation of the residuals Simple Regression Practice

Slope and Linear Functions Total Running Time: 17:09 finding equations of lines, vertical and horizontal lines Slope and Linear Functions

Solving Exponential Equations Total Running Time: 20:05 cannot make bases the same, solving with e, solving with same base Solving Exponential Equations

Solving Percent Equations for the Base Total Running Time: 06:23 Solving Percent Equations for the Base

Solving Percent Equations for the Part Total Running Time: 07:45 Solving Percent Equations for the Part

Solving Percent Equations for the Rate Total Running Time: 04:58 Solving Percent Equations for the Rate

Solving Percent Equations: Increase & Decrease Total Running Time: 05:14 Solving Percent Equations: Increase & Decrease

Solving Systems of Equations with Matrices Total Running Time: 14:35 coefficient matrix Solving Systems of Equations with Matrices

Surveys & Sampling Total Running Time: 18:58 Bias, parameter, population, randomization, sample, Statistic, valid survey Surveys & Sampling

Test of Significance Introduction Total Running Time: 16:52 alternative hypothesis, Inferential Methods, null hypothesis, Population Parameter, Statistical Hypothesis Testing Test of Significance Introduction

Testing Hypotheses Total Running Time: 22:52 alpha levels and significance, alternative hypothesis, critical values, null hypothesis, p values, type one and two error Testing Hypotheses

Testing Hypothesis About Proportions PT1 Total Running Time: 14:17 alternative hypothesis, null hypothesis, One Tail Test, two tailed test, Type I Error, Type II Error Testing Hypothesis About Proportions PT1

Testing Hypothesis About Proportions PT2 Total Running Time: 15:51 Alpha, Alternate Hypothesis, critical values, Fail to Reject, Key Values, null hypothesis, Reject Testing Hypothesis About Proportions PT2

Tests of Significance for the Population Mean (t-Statistic) Total Running Time: 14:13 Confidence Interval Approach, Hypothesis Testing, T-statistic, Test of Significance, Validity Assumptions Tests of Significance for the Population Mean (t-Statistic)

Tests of Significance for the Population Mean (z-Statistic) PT1 Total Running Time: 17:24 Confidence Interval Approach, Hypothesis Testing, Population Mean, Z-Statistic Tests of Significance for the Population Mean (z-Statistic) PT1

Tests of Significance for the Population Mean (z-Statistic) PT2 Total Running Time: 16:01 Confidence Interval Approach, Hypothesis Testing, Population Mean, Z-Statistic Tests of Significance for the Population Mean (z-Statistic) PT2

Tests of Significance for the Population Proportion (z-Statistic) PT1 Total Running Time: 10:56 Confidence Interval Approach, Hypothesis Testing, Population Proportion, Z-Statistic Tests of Significance for the Population Proportion (z-Statistic) PT1

Tests of Significance for the Population Proportion (z-Statistic) PT2 Total Running Time: 10:39 Confidence Interval Approach, Hypothesis Testing, Population Proportion, Z-Statistic Tests of Significance for the Population Proportion (z-Statistic) PT2

The Empirical Rule Total Running Time: 02:55 empirical rule, Frequency of Observations, Mound Shaped, Normal Data The Empirical Rule

The Multiplication Rule Total Running Time: 07:00 dependant events, independent events, multiplication rule The Multiplication Rule

Translating Words to Algebraic Equations and Solving Total Running Time: 05:01 Translating Words to Algebraic Equations and Solving

Translating Words to Algebraic Expressions Total Running Time: 05:31 Translating Words to Algebraic Expressions

Two Sample Design: Comparing Two Means and Two Proportions Total Running Time: 26:34 confidence interval, hypothesis test, independent samples, population means, population proportions Two Sample Design: Comparing Two Means and Two Proportions

Types of Data Total Running Time: 02:58 categorical, data, Different Types of Data, Numerical, qualitative, quantitative Types of Data

Types of Random Variables Total Running Time: 09:06 continuous random variable, discrete random variable, expected value, probability distribution, standard deviation Types of Random Variables

Understanding Residuals Total Running Time: 10:48 examining residuals for groups, extrapolation and prediction, summary values, unusual and extraordinary observations Understanding Residuals

Understanding Residuals Total Running Time: 08:36 high-leverage point, large residuals, residuals, residuals for groups Understanding Residuals

Unions, Intersections, Complementary Events Total Running Time: 04:54 Complementary Events, Intersections, Outcomes, probabilities, sample space, Unions Unions, Intersections, Complementary Events